An Improved Arc Algorithm for Detecting Definite Hermitian Pairs

dc.contributor.authorGuo, Chun-Hua
dc.contributor.authorHigham, Nicholas J.
dc.contributor.authorTisseur, Francoise
dc.date.accessioned2014-04-28T00:27:58Z
dc.date.available2014-04-28T00:27:58Z
dc.date.issued2009
dc.description.abstractA 25-year old and somewhat neglected algorithm of Crawford and Moon attempts to determine whether a given Hermitian matrix pair $(A,B)$ is definite by exploring the range of the function $f(x) = x^*(A + iB)x/|x^*(A + iB)x|$, which is a subset of the unit circle. We revisit the algorithm and show that with suitable modifications and careful attention to implementation details it provides a reliable and efficient means of testing definiteness. A clearer derivation of the basic algorithm is given that emphasizes an arc expansion viewpoint and makes no assumptions about the definiteness of the pair. Convergence of the algorithm is proved for all $(A,B)$, definite or not. It is shown that proper handling of three details of the algorithm is crucial to the efficiency and reliability: how the midpoint of an arc is computed, whether shrinkage of an arc is permitted, and how directions of negative curvature are computed. For the latter, several variants of Cholesky factorization with complete pivoting are explored and the benefits of pivoting demonstrated. The overall cost of our improved algorithm is typically just a few Cholesky factorizations. Applications of the algorithm are described to testing the hyperbolicity of a Hermitian quadratic matrix polynomial, constructing conjugate gradient methods for sparse linear systems in saddle point form, and computing the Crawford number of the pair $(A,B)$ via a quasiconvex univariate minimization problem.en_US
dc.description.authorstatusFacultyen_US
dc.description.peerreviewyesen_US
dc.description.sponsorshipNSERC, EPSRCen_US
dc.identifier.citationSIAM J. Matrix Anal. Appl.en_US
dc.identifier.urihttps://hdl.handle.net/10294/5268
dc.language.isoenen_US
dc.publisherSIAMen_US
dc.titleAn Improved Arc Algorithm for Detecting Definite Hermitian Pairsen_US
dc.typeArticleen_US
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